Commit Offshore

We are looking for an AI/ML Research Scientist.

Requirements:

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or a STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)
• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science. 

We're looking for a hands-on Salesforce Implementer to join the company's Business Applications team. Solutions are already defined — this is a build-only role: you'll implement, configure, and automate business processes in Salesforce and supporting tools, and provide day-to-day operational support to users. You'll work as an individual contributor on a team of five implementers.
 

What You'll Do:

• Implement and configure already-defined solutions in Salesforce: objects, fields, layouts, profiles, permissions, and declarative automation (Flows, validation rules)
• Build and maintain automations between business applications
• Support users on day-to-day tasks, including data fixes and troubleshooting
• Collaborate with the in-house team on requirements that are already defined, keeping stakeholders informed on progress
• Ensure best practices in database management and data quality

• Support Sales tools and business applications globally
   

  Qualifications

• 2+ years of hands-on experience as a Salesforce implementer
• Salesforce automation: Flows, validation rules, declarative development 
• Salesforce data management: data fixes, Data Loader, reports, and dashboards 
• Integration fundamentals: APIs, webhooks, syncing data between business applications, 
• n8n / Make.com, Workat, /iPaaS, webhooks
• Experience with NetSuite, Outreach, HubSpot 
• Apex DML, trigger behavior, SOQL
• CRM concepts

Job Summary

We are seeking a Senior DevOps Engineer to build and maintain the cloud infrastructure supporting our CI/CD pipelines and production services. You will work closely with software engineers, fellow DevOps engineers, and other team members to automate, scale, secure, and continuously improve our platform.

Key Responsibilities

• Design, build, and maintain scalable, highly available, and secure infrastructure.
• Automate CI/CD pipelines and manage deployments to staging and production environments.
• Work with Kubernetes, Docker, and Helm for container orchestration and management.
• Manage and implement Infrastructure-as-Code using Terraform and Terragrunt.
• Set up and maintain monitoring and logging systems such as Prometheus, Grafana, and ELK/OpenSearch.
• Collaborate across engineering teams to ensure platform reliability, performance, and scalability.
• Maintain system security and implement DevOps and cloud infrastructure best practices.

Requirements

• 6+ years of experience as a DevOps Engineer in a production environment.
• Strong Linux and networking fundamentals.
• Proven experience working with managed cloud services, preferably AWS or GCP.
• Strong proficiency with Docker, Kubernetes, and Helm.
• Hands-on experience with Infrastructure-as-Code tools, including Terraform and Terragrunt.
• Experience with CI/CD tools, preferably GitHub Actions and self-hosted runners.
• Solid shell scripting skills and basic experience with Python or Go.
• Familiarity with security principles and industry best practices.
• Strong communication skills and the ability to work independently.

Expectations

• Ownership: When identifying a problem, take an active role in driving it toward resolution or ensure it is clearly and appropriately handed over to the relevant owner.
• Accountability: Follow through on commitments, communicate progress clearly, and raise risks or blockers at an early stage.
• Thinking Beyond Tickets: Look beyond assigned tasks and continuously identify opportunities to improve reliability, security, automation, observability, and overall operational excellence.

Role Overview:

We are looking for a Senior Automation Backend Engineer to join our team in Poland. This role is heavily focused on API testing (85%) with UI testing (15%) and requires strong expertise in Python and test automation. You will be responsible for designing, developing, and maintaining automation frameworks while ensuring the scalability and efficiency of our testing infrastructure.

Key Responsibilities:

Automation Strategy & Test Framework Development:

• Design and implement an automation testing strategy from scratch.
• Develop, enhance, and maintain test automation frameworks for API and UI testing.

• Ensure scalability and reusability of automation solutions across multiple projects.

   

Test Development & Execution:

• API Testing: Develop automated API tests using Python (must) and Request Module package.
• UI Testing: Build and maintain UI test cases using Playwright.
• Create and execute automated test scripts to validate functionality, performance, and security.

• Work with Jenkins for CI/CD automation and integrate tests into pipelines.

   

Continuous Integration & Deployment:

• Integrate test automation into the CI/CD pipelines, ensuring robust test coverage and automated reporting.

• Work closely with DevOps to manage test execution environments using Docker, Kubernetes.

   

Collaboration & Documentation:

• Writing test strategy and test plans
• Work cross-functionally with developers, QA, and DevOps teams to optimize the test process.
• Use Jira for documentation, task tracking, and bug reporting.
• Manage test cases in Xray (optional).
• Analyze logs and debug test failures in staging and production environments.

Required Qualifications & Experience:

✅ Must-Have:

• 5+ years of experience in test automation or a related role.
• Strong programming skills in Python (mandatory).
• Experience in writing tests documentation such as: design documents, test strategies and test plans.
• Extensive experience (85%) in API testing using Request Module.
• UI testing experience (15%) using Playwright.
• Hands-on experience with postman
• Hands-on experience with CI/CD pipelines (Jenkins preferred).
• Experience working with Docker & Kubernetes for test automation.
• Strong analytical and problem-solving skills.
• Experience with Jira for task and bug management.

• Task-oriented, independent, and proactive mindset.

   

✅ Nice to Have:

• Kafka experience (optional).
• Experience with Xray for test management (optional).
• Experience in AWS cloud services

We are looking for a skilled FP&A Analyst to join our customers' team.

Key responsibilities

• Ensure data accuracy through validation processes and financial controls
• Manage and analyze usage-based and revenue-sharing (revshare) models
• Review and approve commercial agreements from a financial perspective
• Perform financial forecasting, budgeting, and variance analysis
• Deliver ad hoc analysis to support key business decisions

• Partner with cross-functional stakeholders to align financial insights with company strategy

   

Requirements

• 5+ years of FP&A experience, preferably in a global SaaS company
• Advanced Excel skills, including Power Query (mandatory)
• Advanced SQL (mandatory)
• Strong analytical mindset with exceptional attention to detail
• Proven ability to communicate insights clearly and partner with stakeholders
• Excellent English (written and verbal)

We are seeking an experienced Senior Full Stack Engineer to build and maintain high-performance, end-to-end features across our platform — from scalable backend microservices to rich, responsive user interfaces. You'll work on high-impact projects including real-time messaging systems, cloud infrastructure, and video streaming technology, collaborating across the stack to design, implement, and optimize new features that shape the future of our product.

Key Responsibilities:

• Design, develop, and maintain scalable microservices using NestJS or Go, and build the Angular frontends that consume them.
• Implement real-time communication features end-to-end, leveraging Kafka and MQTT for messaging and Sockets (native & Socket.IO) for low-latency interactions on both server and client.
• Build dynamic, high-performance UIs with Angular and TypeScript, applying reactive programming with RxJS and state management via Redux / NgRx.
• Translate Figma designs into intuitive, responsive, well-crafted UI components.
• Collaborate with DevOps to deploy and operate services across GCP and AWS environments.
• Work on video streaming solutions and integrate video protocols (e.g., RTMP, HLS, WebRTC) across delivery and playback.
• Implement and optimize APIs to ensure high availability, performance, and scalability.
• Contribute to architectural decisions, code reviews, and mentoring of junior engineers.
• Stay current with emerging technologies and integrate them into development workflows.

Required Qualifications:

• 5+ years of full stack engineering experience, with strong depth on both backend and frontend.
• Backend: 3+ years with NestJS or GO; experience with microservices architecture and distributed systems.
• Frontend: strong proficiency in Angular and TypeScript, with in-depth knowledge of reactive programming / RxJS and Redux / NgRx state management.
• Proficiency with messaging systems such as Kafka or MQTT.
• Hands-on experience with Socket.IO or native socket programming for real-time applications.
• Experience with cloud platforms GCP and AWS.
• Solid understanding of containerization, with exposure to Kubernetes.
• Strong proficiency in JavaScript/TypeScript (Node.js); Go or Rust a plus.
• Familiarity with CI/CD pipelines and version control (Git).
• Experience with databases (SQL/NoSQL) and caching technologies (e.g., Redis).
• Proficient in interpreting and implementing UI/UX designs in Figma.

Preferred Qualifications:

• Experience with video streaming protocols (HLS, RTMP, WebRTC).
• Proficiency in Go or Rust for high-performance backend services.
• Experience with React.
• Experience in an agile environment with a strong emphasis on continuous improvement.
• Knowledge of security best practices for API design, data protection, and infrastructure.

Must-Have Skills

• 5+ years of experience as a Cybersecurity Researcher (supply-chain attacks, malware analysis)
• Familiarity with open-source registry ecosystems (npm, PyPI, Maven) and their respective attack surfaces
• Proven ability to ship software in a production environment
• Strong understanding of the SDLC and modern CI/CD pipelines
• Comfortable leveraging AI tools to optimize research and development processes
• Proactive and independent mindset, with the ability to take full ownership of projects

Nice to Have

• Active contributions to open-source security tools or research projects
• Hands-on experience with decompilers, debuggers, and network traffic analysis
• Advanced malware analysis experience (obfuscation, encryption, anti-analysis, and sandbox-evasion techniques)
• Web application penetration testing experience
• Published CVEs, coordinated disclosures, writeups, blogs, or research papers
• Experience public speaking at major industry conferences (e.g., Black Hat, DEFCON, RSAC)
• A genuine passion for cybersecurity, open-source communities, and solving complex ecosystem threats

We're hiring a Cloud DevOps Engineer to build, automate, and secure our GCP-centric cloud platform in a fast-paced startup environment. You'll own CI/CD, infrastructure as code, GKE, and Airflow-based workflow orchestration, working closely with development, security, and data teams.

Must-Have Skills:

• GCP — strong, hands-on production experience
• GKE / Kubernetes in production
• Apache Airflow — authoring DAGs and managing the platform
• 4+ years in DevOps / SRE / Cloud Engineering
• Terraform (IaC) required
• CI/CD tooling and best practices
• Secrets management, RBAC, and audit logging
• Scripting in Python, Bash, or PowerShell
• High level of English

Nice-to-Have

• Azure and/or AWS
• CloudFormation or Bicep

We're hiring a Cloud DevOps Engineer to build, automate, and secure our GCP-centric cloud platform in a fast-paced startup environment. You'll own CI/CD, infrastructure as code, GKE, and Airflow-based workflow orchestration, working closely with development, security, and data teams.

Must-Have Skills

• GCP — strong, hands-on production experience
• GKE / Kubernetes in production
• Apache Airflow — authoring DAGs and managing the platform
• 4+ years in DevOps / SRE / Cloud Engineering
• Terraform (IaC) required
• CI/CD tooling and best practices
• Secrets management, RBAC, and audit logging
• Scripting in Python, Bash, or PowerShell
• High level of English

Nice-to-Have

• Azure and/or AWS
• CloudFormation or Bicep

What You’ll Own

• Build production systems for AI-driven vulnerability research and exploit development.
• Develop tooling for vulnerability discovery, triage, reproduction, and validation at scale.
• Work across OS internals, binaries, runtimes, kernels, dynamic analysis, instrumentation, and low-level performance.
• Partner with vulnerability researchers, security operators, and engineers to automate manual cyber workflows.
• Own problems end-to-end, from research and design to shipped production code.

Requirements

• 2+ years of vulnerability research, offensive security, or low-level engineering experience. Exceptional new grads with strong CTF, systems, or exploitation work will be considered.
• Hands-on experience with reverse engineering, binary analysis, exploit development, fuzzing, dynamic analysis, bug hunting, CTFs, or comparable low-level security work.
• Deep low-level systems fluency, including OS internals, kernels, runtimes, memory corruption, debugging, dynamic instrumentation, or performance-sensitive systems.
• Strong builder mindset and ability to ship reliable tools and production systems.
• Comfortable working in ambiguity and moving fast.
• Willing to relocate to Washington DC after an initial period, with full relocation support. The role is expected to be in-office 5 days per week.

Nice to Have

• Strong CTF background, especially pwn, rev, kernel, browser, or systems-heavy challenges.
• Published vulnerability research, CVEs, exploit writeups, or security talks.
• Experience with fuzzing, symbolic execution, emulation, program analysis, or binary rewriting.
• Open-source contributions to low-level security, reversing, debugging, tracing, fuzzing, or OS tooling.
• Exposure to ML / AI systems, especially applied to code, binaries, security automation, or program analysis.
• Early-stage startup, founder, or early-engineer experience.

What We Look For

• Strong vulnerability research instincts.
• Low-level technical depth.
• Builder mindset — able to turn research workflows into scalable systems.
• Comfort with ambiguity, speed, and high ownership.
• Motivation to help build a category-defining company in AI-native offensive cyber.

We're hiring a Software Engineer and Security Researcher to help build our top-tier cybersecurity product. This is a hybrid role by design: a strong software engineer who also brings a deep cybersecurity background. Strong engineering velocity is how features get

shipped; serious security expertise is how those features get shipped right. You should have an understanding of how attackers and defenders actually operate.

The product space is CSPM/CNAPP-related, but extends beyond it. Expect to work across cloud posture, identity, attack paths, prioritization, detection, and adjacent areas as the product

evolves.

The pace is high. AI is part of how we work, every day.

Responsibilities

• Design, build, and ship product features end-to-end: from security research to architecture and production code to release.
• Apply cybersecurity expertise to every feature decision: what to detect, how to model risk, what makes a finding actionable, where customers will be misled by noise, and how to translate raw cloud signal into something a security team can trust and act on.
• Own cloud security capabilities across CSPM and beyond: posture, identity, attack paths, severity/prioritization, detections, and emerging areas of the platform.

• Drive AI into the development loop. Use coding agents and LLM tools as a core part of how you design, prototype, build, debug, review, and document. Write strong prompts,

  evaluate outputs critically, and turn AI-generated work into production-quality code and logic.

• Move fast, with judgment. Make tradeoffs explicit, ship iteratively, and learn from real customer signals.
• Collaborate closely with product, research, and engineering peers: clear written specs, sharp communication, clean handoffs, customer-facing rationale.

Requirements

• 5+ years as a software engineer. You design systems, write production code, reason about reliability and edge cases, and own delivery end-to-end.
• Strong cybersecurity foundation. You understand threats, controls, identity, cloud risk, and why a “finding” is or isn’t worth a customer’s attention. This is what makes your feature decisions land.
• Hands-on experience developing with AI / AI-driven development. This is a MUST. You have meaningfully shipped work where coding agents, LLM tools, or in-IDE AI assistants were a core part of how you built it. You can speak in detail about what worked, what didn’t, and how you got real leverage out of these tools.
• Experience with at least one major cloud platform (AWS preferred; Azure or GCP also valid).
• Comfortable operating at high pace: small batches, fast iteration, willingness to cut scope to ship, calm under pressure.
• Strong communication: you can explain engineering and security tradeoffs to both technical and non-technical stakeholders.

Nice to Have

• Experience building CSPM/CNAPP products, cloud security detection/analytics pipelines, or other top-tier security products.
• Experience building or fine-tuning AI-powered developer workflows: custom agents, pipelines, evals, internal AI tooling, prompt frameworks.
• Familiarity with cloud telemetry/log sources and correlating security signals across configuration, identity, and activity.
• Infrastructure-as-Code (e.g., Terraform) and cloud-native development experience.
• Prior security research background: vulnerability research, threat research, or detection engineering.

Role Overview

We are looking for a technically strong Assistant Controller to join our company. This is a hands-on accounting role responsible for financial reporting, accounting operations, compliance, monthly close, and finance process improvements across international entities.
 

The ideal candidate has strong U.S. GAAP knowledge, experience in a Big-4 accounting firm's Hi-Tech department, and enjoys building scalable finance processes in a dynamic, high-growth environment.

Key Responsibilities

Accounting & Financial Reporting

• Own the financial aspects of the Order-to-Cash (O2C) process.
• Ensure accurate reconciliation between Salesforce and NetSuite.
• Assist with monthly, quarterly, and annual financial close.
• Prepare consolidated financial statements under U.S. GAAP.

• Perform balance sheet reconciliations and maintain accounting accuracy.

   

Revenue & Operational Finance

• Partner with Sales, Operations, and Inventory teams to ensure accurate customer order processing.
• Support revenue recognition activities.
• Assist with inventory accounting and inventory planning.

• Monitor gross margin reporting and financial performance.

   

Compliance & Audit

• Support annual external audits.
• Coordinate with external auditors.
• Assist with U.S. and international tax compliance, including:
  • Sales tax

  • Corporate tax filings

     

Financial Planning & Analysis

• Support budgeting and forecasting.
• Perform variance analysis.

• Prepare management reports.

   

Process Improvement

• Help automate finance processes using ERP, BI, and AI tools.
• Improve internal controls and accounting processes.

• Contribute to building scalable finance infrastructure.

   

Must-Have Requirements

Education & Certification

• CPA qualification.

• Experience in a Big-4 accounting firm (Hi-Tech department) after internship.

   

Accounting

• Strong knowledge of U.S. GAAP.

• Experience with consolidated financial reporting.

   

Systems

• Experience using NetSuite ERP.

• Advanced Microsoft Excel skills.

   

Languages

• High level of English (written and spoken).

   

Skills

• Excellent analytical skills.
• Strong attention to detail.
• Well-organized and process-oriented.

• Ability to thrive in a fast-paced, high-growth environment.

   

Nice-to-Have

• Experience with Salesforce or another CRM system.
• SaaS industry experience.
• Inventory accounting experience.
• Experience coordinating external audits.
• Knowledge of U.S. sales tax and corporate tax compliance.

• Experience with BI, automation, or AI finance tools.

   

Ideal Candidate Profile

• CPA with a Big-4 Hi-Tech background.
• Strong technical accounting foundation.
• Hands-on and proactive.
• Comfortable working in a startup or high-growth environment.
• Process improvement mindset.
• Strong cross-functional communication skills.
• Eager to build and scale finance operations.

Seniority: Junior–Mid Level (CPA with Big-4 background)

Must-have skills

• Ad-monetization domain (25%) — deep understanding of RTB, Header Bidding, Waterfalls, Fill Rate, eCPM/CPM optimization, and advertiser demand.
• Ad mediation platforms + mobile advertising SDKs (20%) — hands-on integration and optimization.
• Software development (20%) — strong backend, distributed systems, APIs, and performance optimization.
• Mobile development (15%) — Android and/or iOS.
• Analytical, data-driven optimization (12%) — analyze large-scale monetization data and implement data-driven improvements.
• High-scale consumer app experience (8%) — experience with high-scale consumer applications reaching millions of users.

Nice-to-have skills

• Hands-on with AppLovin MAX, Google Ad Manager, AdMob, Unity Ads, or IronSource.
• Building internal optimization engines using AI or Machine Learning.
• Familiarity with attribution, user segmentation, A/B testing, and predictive monetization models.

Responsibilities

• Design, develop, and optimize the core monetization infrastructure across multiple mobile applications.
• Improve ad waterfall and bidding performance to maximize eCPM, fill rate, ARPDAU, and total ad revenue.
• Integrate and optimize mediation platforms (AppLovin MAX, AdMob, LevelPlay, etc.).
• Build intelligent optimization systems for ad placement, frequency, segmentation, and pricing.
• Develop backend services and automation tools for real-time monetization decisions.
• Analyze monetization performance using large-scale data and implement data-driven improvements.
• Optimize SDK integrations, latency, memory usage, and overall ad performance.
• Work closely with Growth, Product, and Data teams to continuously increase LTV and user monetization.
• Research and implement new monetization technologies, bidding strategies, and demand sources.

What you'll own

• Increase overall monetization performance across millions of users.
• Maximize fill rate, eCPM, advertiser competition, and total revenue.
• Build the next generation of the monetization engine using automation and AI.
• Deliver measurable business impact through engineering excellence.

We are seeking a results-driven UX Designer to own the end-to-end user experience of our AI-powered video intelligence platform. This role sits at the intersection of Product, Engineering, and AI. You will translate complex computer vision capabilities into intuitive, high-performance workflows used by security operators and enterprise teams worldwide.

This is not a surface-level UI role. You will shape product strategy, define interaction models, build scalable design systems, and ensure that advanced AI capabilities feel simple, usable, and powerful.
 

Responsibilities:

• Own the full UX lifecycle — from discovery and concept development through wireframes, high-fidelity designs, prototyping, and engineering handoff across web and mobile platforms
• Design intuitive, user-centered experiences that simplify complex AI-driven security workflows and enterprise systems
• Define information architecture for data-rich, analytics-heavy products to ensure clarity, scalability, and performance
• Lead structured user research initiatives, including field studies, stakeholder interviews, usability testing, and behavioral analysis
• Validate concepts through rapid prototyping, usability testing, and iterative experimentation
• Build and evolve cross-platform design system, ensuring consistency, scalability, and engineering alignment
• Leverage UX analytics and product data to drive continuous improvements in usability, adoption, and workflow efficiency
• Collaborate cross-functionally with Engineering, Product, and Leadership to ensure design quality and scalable implementation
• Align UX strategy with product roadmap priorities, contributing to long-term platform vision
• Present and defend design decisions using research, data, and principled thinking
• Other duties may be assigned

Qualifications:

Must Have

• Bachelor’s degree in Design, Human-Computer Interaction, Engineering, or a related field
• 3+ years of experience in UX/UI design for complex B2B, enterprise, or data-heavy platforms
• Strong portfolio demonstrating end-to-end UX work across research, interaction design, and high-fidelity execution
• Proven experience designing complex systems, dashboards, or analytics-driven applications
• Advanced proficiency in Figma and modern design systems
• Experience leading user research initiatives and translating insights into shipped product improvements
• Strong communication skills, with the ability to clearly articulate design decisions to technical and non-technical stakeholders Experience collaborating closely with Engineering teams in fast-paced product environments

Must-Have Skills

• Go / Rust / TypeScript — core stack; strong proficiency in at least one, ideally two
• Multithreaded & concurrent programming — critical requirement; proven experience with real parallel systems
• Performance profiling & optimization — CPU/memory management under real production load on dedicated hardware
• Docker & containerization — deploying and managing containerized workloads
• Edge computing / embedded systems — experience building for resource-constrained environments
• Networking & distributed systems — solid fundamentals; building reliable comms between edge and cloud

• Real-time systems — low-latency design and delivery

   

Nice-to-Have Skills

• Video streaming / pipeline development
• Storage systems & data management at the edge
• Cloud services integration (AWS S3, GCP, MQTT, Kafka)
• AI/ML model deployment on edge devices
• Security concepts (encryption, secure communication, zero trust)
• Responsibilities
• Contribute to the core edge platform running across diverse hardware in a hybrid edge-cloud architecture
• Develop and integrate video management capabilities: streaming, recording, real-time AI processing
• Design and optimize for low-latency, high-performance workloads at the edge
• Build secure, efficient communication pipelines between edge devices and cloud systems
• Work with AI/ML engineers to deploy and optimize on-device models
• Own performance under load — profile CPU/memory, identify bottlenecks, fix them
• Participate in code reviews, debugging, and performance tuning across the stack